Gemini Embedding
High-dimensional vector representations for advanced semantic search, text classification, and RAG systems.
Updated 27 min ago · first seen 11 Sept 2026
model_01M293VBSMQF1CNNZNQYTWPJWE
Specification
- Family
- Gemini
Source:Google AI for Developers (Gemini API docs)T1observed 27 min agohigh
- API model id
- gemini-embedding-001
Source:Google AI for Developers (Gemini API docs)T1observed 27 min agohigh
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
3
Source tiers
T13
Freshest observation
27 min ago
Conflicts
None
Modalities
Modalities unavailable.
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
No capability flags have been observed from a source yet — we do not infer them.
No structured attributes yet.
No benchmark results recorded
Current prices
No current prices recorded
Price history
No hardware estimate available
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history
Familyfamily1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Gemini | → current | current | Google AI for Developers (Gemini API docs)T1 | high | deterministic |
API model idapi_model_id1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| gemini-embedding-001 | → current | current | Google AI for Developers (Gemini API docs)T1 | high | deterministic |
Descriptiondescription1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| High-dimensional vector representations for advanced semantic search, text classification, and RAG systems. | → current | current | Google AI for Developers (Gemini API docs)T1 | high | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Google AI for Developers (Gemini API docs) | ai.google.dev/gemini-api/docs/models | model_docs | T1· Official | 19 min ago | 3 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.